HEXB as a Candidate Target Gene in Keloid Radiotherapy: Based on Multi-Omics Analysis and Mendelian Randomization.
- 1Department of Plastic Surgery, The First People's Hospital of Xiaoshan District - Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, People's Republic of China.
- 2Department of Plastic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China.
- 3Department of Hand Surgery, The First People's Hospital of Xiaoshan District - Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, People's Republic of China.
Abstract
Introduction
Keloid is a common and treatment-refractory conditions in plastic surgery and dermatology. Although radiotherapy for keloid has attracted increasing attention in recent years, its mechanism at the genetic level remains poorly characterized. This study investigated the relationship between radiation-related genes (RRGs) and keloid through an integrated multi-omics and machine learning framework, and to explore potential therapeutic agents targeting the identified key gene.Methods
Single-cell RNA sequencing and multiple Gene Expression Omnibus (GEO) datasets were integrated to investigate the association between RRGs and keloid. Multiple machine learning algorithms were applied to assess potential causal relationships, followed by Mendelian randomization (MR) analysis to investigate potential relationships. Spatial transcriptomics was employed to localize gene expression within keloid tissue, and virtual knockout analysis was performed to assess the functional role of the candidate gene in tissue architecture. Finally, molecular docking was conducted to screen potential therapeutic agents targeting HEXB, and molecular dynamics (MD) simulations were performed to evaluate the stability of the resulting protein-ligand complexes.Results
Hexosaminidase Subunit Beta (HEXB) was identified as a key gene. MR analysis further provided genetic evidence supporting a potential protective association between HEXB and keloid, identifying HEXB as a candidate protective gene. Spatial transcriptomics localized HEXB to the fibrotic dermal matrix with intralesional heterogeneity, while virtual knockout analysis implicated HEXB in maintaining epidermal-mesenchymal boundary integrity. Molecular docking demonstrated that HEXB predicted binding to several drugs, such as tamoxifen and estramustine, suggesting that HEXB may serve as a key target of these agents in keloid treatment.Conclusion
This study identifies HEXB as a candidate protective gene in keloid through an integrated multi-omics approach and suggests that HEXB may serve as a molecular target for potential therapeutic agents. These findings provide new directions for understanding the molecular mechanisms underlying radiotherapy in keloid and for developing targeted therapeutic strategies.
Related
- Plasma Angiotensin‐Converting Enzyme as a Prioritized Candidate Target for Alzheimer's Disease: Evidence From Proteome‐Wide Mendelian Randomization and a Large Prospective Cohort Study
- Identification of genetically supported candidate therapeutic targets for angina pectoris using mendelian randomization
- Single-Cell Immune Cis-eQTL Mendelian Randomization Prioritizes Cell-Type-Resolved Candidate Causal Genes for Endometriosis
- GIPR and GLP-1R agonism as potential behavioral catalysts: a drug-target Mendelian randomization study
- Cell-type-resolved colocalisation prioritises KCNIP2 as a candidate epilepsy drug-target detectable at inhibitory-neuron but not bulk-tissue resolution: a Mendelian randomisation and colocalisation study.
BibTeX
@article{shang2026hexb,
title = {{HEXB as a Candidate Target Gene in Keloid Radiotherapy: Based on Multi-Omics Analysis and Mendelian Randomization.}},
author = {Yuxuan Shang and Shuangshuang Gao and Xiaofang Guan},
journal = {Clinical, cosmetic and investigational dermatology},
year = {2026},
month = oct,
doi = {10.2147/ccid.s641187},
url = {https://europepmc.org/article/MED/42904139},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - HEXB as a Candidate Target Gene in Keloid Radiotherapy: Based on Multi-Omics Analysis and Mendelian Randomization.
AU - Yuxuan Shang
AU - Shuangshuang Gao
AU - Xiaofang Guan
PY - 2026
DA - 2026/10/16
JO - Clinical, cosmetic and investigational dermatology
DO - 10.2147/ccid.s641187
UR - https://europepmc.org/article/MED/42904139
AB - Introduction Keloid is a common and treatment-refractory conditions in plastic surgery and dermatology. Although radiotherapy for keloid has attracted increasing attention in recent years, its mechanism at the genetic level remains poorly characterized. This study investigated the relationship between radiation-related genes (RRGs) and keloid through an integrated multi-omics and machine learning framework, and to explore potential therapeutic agents targeting the identified key gene.Methods Single-cell RNA sequencing and multiple Gene Expression Omnibus (GEO) datasets were integrated to investigate the association between RRGs and keloid. Multiple machine learning algorithms were applied to assess potential causal relationships, followed by Mendelian randomization (MR) analysis to investigate potential relationships. Spatial transcriptomics was employed to localize gene expression within keloid tissue, and virtual knockout analysis was performed to assess the functional role of the candidate gene in tissue architecture. Finally, molecular docking was conducted to screen potential therapeutic agents targeting HEXB, and molecular dynamics (MD) simulations were performed to evaluate the stability of the resulting protein-ligand complexes.Results Hexosaminidase Subunit Beta (HEXB) was identified as a key gene. MR analysis further provided genetic evidence supporting a potential protective association between HEXB and keloid, identifying HEXB as a candidate protective gene. Spatial transcriptomics localized HEXB to the fibrotic dermal matrix with intralesional heterogeneity, while virtual knockout analysis implicated HEXB in maintaining epidermal-mesenchymal boundary integrity. Molecular docking demonstrated that HEXB predicted binding to several drugs, such as tamoxifen and estramustine, suggesting that HEXB may serve as a key target of these agents in keloid treatment.Conclusion This study identifies HEXB as a candidate protective gene in keloid through an integrated multi-omics approach and suggests that HEXB may serve as a molecular target for potential therapeutic agents. These findings provide new directions for understanding the molecular mechanisms underlying radiotherapy in keloid and for developing targeted therapeutic strategies.
SN - 1178-7015
ER -